Triple

T22974023
Position Surface form Disambiguated ID Type / Status
Subject Storks E571263 entity
Predicate voiceCast P18510 FINISHED
Object Jennifer Aniston NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jennifer Aniston | Statement: [Storks, voiceCast, Jennifer Aniston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Aniston
Context triple: [Storks, voiceCast, Jennifer Aniston]
  • A. Jennifer Aniston chosen
    Jennifer Aniston is an American actress and producer best known for her role as Rachel Green on the television sitcom "Friends" and for starring in numerous successful comedy films.
  • B. Reese Witherspoon
    Reese Witherspoon is an American actress and producer known for her versatile roles in film and television, including "Legally Blonde," "Walk the Line," and "Big Little Lies."
  • C. Katherine Heigl
    Katherine Heigl is an American actress and former fashion model best known for her roles in the television series "Grey's Anatomy" and various romantic comedy films.
  • D. Kaley Cuoco
    Kaley Cuoco is an American actress best known for her comedic television roles, particularly as Penny on the hit sitcom "The Big Bang Theory."
  • E. Julia Roberts
    Julia Roberts is an Academy Award–winning American actress renowned for her leading roles in films such as "Pretty Woman," "Erin Brockovich," and numerous other box-office hits.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182350b448190a34e5fa0167fd964 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.